Высокооплачиваемая роль в топовой AI-лаборатории. Тут предстоит миксовать глубокий финтех-инжиниринг с внедрением LLM в реальный продакшен.
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Высокая зарплатаПередовой стекТрендовый доменПрозрачные задачи
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Finance Systems Engineer (Tax) (Python/SQL/AI): Building production integrations, tax tooling, and audit-ready data pipelines connecting billing, ERP, tax engines, and data infrastructure with an accent on tax-system reliability, reconciliations, and compliance controls. Focus on designing SOX-aware evidence pipelines, implementing ERP-connected tax flows, and applying Claude to automate complex tax work for finance users.
Location: San Francisco, CA or Seattle, WA, with staff expected to work from an office at least 25% of the time.
Annual salary: $205,000–$270,000 USD
Company
Anthropic is a public benefit corporation building reliable, interpretable, and steerable AI systems designed to be safe and beneficial.
What you will do
Own tax-related changes in the billing codebase and billing-to-tax-engine integrations, including withholding tax requirements.
Lead AP tax engine implementation across ERP-connected purchasing flows, including migration, integration pipelines, reconciliation, e-invoicing, and go-live validation.
Build tax products and internal tooling for reconciliations, tax provision, research credits, transfer pricing, withholding, exemptions, and data validation.
Own production connections between the tax stack and data infrastructure, including central ingestion flows.
Develop SOX-aware IPE, control-total, source-to-target tie-out, and audit-evidence tooling.
Partner with Tax, Billing Engineering, Data Platform, Treasury, Product, vendors, and auditors to optimize and maintain the tax technology stack.
Requirements
Production integration experience with billing platforms, ERPs, enterprise tax systems, or finance systems.
Working knowledge of at least one tax technology domain, such as indirect tax, corporate tax provision, withholding, research credits, or transfer pricing.
Production-grade Python development skills with testing and code-review discipline, plus SQL proficiency for end-to-end reconciliation and validation.
Experience operating SOX-aware data flows, IPE, control totals, or documented and testable pipelines.
Bachelor’s degree or equivalent education, training, or experience.
Ability to work independently and collaborate directly with vendors, auditors, engineers, and tax professionals.
Nice to have
7+ years of experience in tax technology, finance systems engineering, or a related field.
Experience with shared production codebases, dbt, BigQuery, warehouse engineering, or analytics engineering.
Experience across multiple tax domains, internal tools for non-technical users, UAT, change management, or vendor-system handoffs.
Experience applying LLMs or AI to finance and tax workflows, including novel applications of Claude.
Marketplace, usage-based, or platform billing experience.
Culture & Benefits
Collaborative work across research, engineering, policy, finance, tax, and product functions.
Flexible working hours and a hybrid office policy.
Competitive compensation with optional equity donation matching.
Generous vacation and parental leave.
Office space designed for collaboration and frequent research discussions.
Immigration lawyer support and visa sponsorship consideration for eligible offers.
Hiring process
Candidate AI usage is governed by Anthropic’s application-process guidance.
Visa sponsorship is evaluated based on the role and candidate, with reasonable immigration support available when an offer is made.
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